Beyond Transactions: Building Customer Loyalty and Brand Value Cocreation in Vietnamese Financial Apps

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Luan-Thanh Nguyen, Nhi-Tuyet Thi Tran, Tri-Quan Dang, Dang Thi Viet Duc
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引用次数: 0

Abstract

Enterprises and consumers prefer digital financial product selection through financial app platforms, making Fintech one of the fastest-growing industries. Thus, the study uses gamification’s perceived value and uses and gratification theory to build a research model that examines how hedonic value, utilitarian value, social interaction, binge-playing, and convenient navigability affect customer loyalty and brand value cocreation towards financial app platforms through confirmation and engagement. This study examined data from 330 online questionnaire respondents using partial least square structural equation modeling (PLS-SEM) and artificial neural network (ANN) methods to reveal linear and nonlinear interactions. Utilitarian value, hedonic value, social interaction, and binge-playing increase customer confirmation and engagement, boosting financial app platform customer loyalty and brand value cocreation. ANN analysis shows customer engagement affects brand value cocreation more than customer confirmation. Gamification and uses and gratification theories are combined to study customer confirmation and engagement. This study also provides novel theoretical contributions in Fintech and social science behavior literature and managerial implications for financial app managers.

Abstract Image

超越交易:在越南金融应用中建立客户忠诚度和品牌价值共同创造
企业和消费者更倾向于通过金融应用平台选择数字金融产品,使金融科技成为增长最快的行业之一。因此,本研究运用游戏化的感知价值和使用与满足理论构建研究模型,考察享乐价值、功利价值、社交互动、暴玩和便捷导航如何通过确认和参与影响客户对金融应用平台的忠诚度和品牌价值共同创造。本研究使用偏最小二乘结构方程模型(PLS-SEM)和人工神经网络(ANN)方法分析了330名在线问卷受访者的数据,以揭示线性和非线性相互作用。功利价值、享乐价值、社交互动、暴玩增加了客户的确认度和参与度,促进了金融应用平台客户忠诚度和品牌价值的共同创造。人工神经网络分析显示,顾客参与对品牌价值共同创造的影响大于顾客确认。游戏化与使用和满足理论相结合,研究客户确认和参与。本研究也为金融科技和社会科学行为文献提供了新的理论贡献,并为金融应用程序经理提供了管理启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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